iar.Q: Unscaled precision matrix for a random walk of order 'p'.
In NMML/agTrend: Estimate Linear Trends for Aggregated Abundance Data
Description
Usage
Arguments
Value
References
Description
This function calculates the entries for a precision matrix for a random walk of order p.
It is used in the MCMC augementation with p=2, but, it is presented here for general use.
Usage
1
iar.Q(n, p)
Arguments
n
The length of the RW(p) process. The length must be greater than or equal to 2*p.
p
The order of the random walk process.
Value
A matrix
References
H. Rue and L. Held (2005) Gaussian Markov Random Fields. Chapman & Hall/CRC. 263 pp.
NMML/agTrend documentation built on May 7, 2019, 6:02 p.m.
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Description Usage Arguments Value References
Description
This function calculates the entries for a precision matrix for a random walk of order p.
It is used in the MCMC augementation with p=2, but, it is presented here for general use.
Usage
1 | iar.Q(n, p)
|
Arguments
n |
The length of the RW(p) process. The length must be greater than or equal to |
p |
The order of the random walk process. |
Value
A matrix
References
H. Rue and L. Held (2005) Gaussian Markov Random Fields. Chapman & Hall/CRC. 263 pp.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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